首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >An Accurate and Automated Approach to Georectification of HDF-EOS Swath Data
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An Accurate and Automated Approach to Georectification of HDF-EOS Swath Data

机译:HDF-EOS测绘数据地理校正的一种精确,自动化方法

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HDF-EOS is the standard format for NASA's EOS data products Data stored in the HDF-EOS swath structure are in a raw sensor coordinate system and are not rectified to a map projection or geographic coordinate system. The geolocation information is stored as separate fields in a swath. Swath data have tb be georectified before they can be integrated and analyzed Presently, no general purpose remote sensing image processing or geographic information system software has the capability to directly performgeorectification of HDF-EOS swath data by using the geolocation information in the file Most software cannot even import such data due to the relevant newness of the format, and this has limited the public use of NASA EOS data products This paper describes algorithms that automatically georectify the swath data by using the geolocation information in the swath. The algorithms have been implemented in a software package which is freely available to data users.
机译:HDF-EOS是NASA EOS数据产品的标准格式,存储在HDF-EOS条带结构中的数据位于原始传感器坐标系中,未校正为地图投影或地理坐标系。地理位置信息存储为条带中的单独字段。测绘数据必须先经过地理校正,然后才能进行整合和分析。目前,没有通用的遥感图像处理或地理信息系统软件能够通过使用文件中的地理位置信息直接对HDF-EOS测绘数据进行地理化处理。大多数软件不能甚至由于格式的新颖性而导入此类数据,这限制了NASA EOS数据产品的公共使用。本文介绍了通过使用条带中的地理位置信息自动对条带数据进行地理校正的算法。算法已在软件包中实现,该软件包可免费提供给数据用户。

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